Instructions to use melll-uff/pt-br_diffcse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melll-uff/pt-br_diffcse with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("melll-uff/pt-br_diffcse") model = BertForCL.from_pretrained("melll-uff/pt-br_diffcse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7dc2d0772b3b5e9d24e13dae20e72c0eb19a2500a454b69a72a5bc4645d58470
- Size of remote file:
- 1.24 GB
- SHA256:
- 501f6fc436c01812ac214093738d0a3abf648c6c528614eb37e3ab49c0f9b3c6
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